2004
DOI: 10.1534/genetics.103.021642
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Multiple-Interval Mapping for Quantitative Trait Loci Controlling Endosperm Traits

Abstract: Endosperm traits are trisomic inheritant and are of great economic importance because they are usually directly related to grain quality. Mapping for quantitative trait loci (QTL) underlying endosperm traits can provide an efficient way to genetically improve grain quality. As the traditional QTL mapping methods (diploid methods) are usually designed for traits under diploid control, they are not the ideal approaches to map endosperm traits because they ignore the triploid nature of endosperm. In this article,… Show more

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Cited by 383 publications
(541 citation statements)
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“…However, this finding is not unusual (Clark 2000), as attempts to detect epistasis with these types of linear models raise a number of issues of difficult resolution (e.g., The lack of statistical detection of epistatic interactions in the context of these models does not preclude the existence or the importance of epistasis, as our results (especially for WT3wk) seem to confirm. A more thorough dissection of these issues would require the implementation of multiple QTL-models (Kao et al 1999) or of the alternative approaches proposed by Routman and Cheverud (1997). We plan to undertake these in the future.…”
Section: Discussionmentioning
confidence: 99%
“…However, this finding is not unusual (Clark 2000), as attempts to detect epistasis with these types of linear models raise a number of issues of difficult resolution (e.g., The lack of statistical detection of epistatic interactions in the context of these models does not preclude the existence or the importance of epistasis, as our results (especially for WT3wk) seem to confirm. A more thorough dissection of these issues would require the implementation of multiple QTL-models (Kao et al 1999) or of the alternative approaches proposed by Routman and Cheverud (1997). We plan to undertake these in the future.…”
Section: Discussionmentioning
confidence: 99%
“…The MIM method combines QTL mapping analysis with the analysis of genetic architecture of quantitative traits. It utilizes multiple marker intervals simultaneously to construct multiple putative QTLs (30). The MIM model is based on Cockerham's model for interpreting genetic parameters and the method of maximum likelihood for estimating genetic parameters.…”
Section: Qtl Mappingmentioning
confidence: 99%
“…Therefore, Garcia et al [16] developed a multiple-interval mapping [31] model in the NCIII design. The method provides a platform to estimate the number, genomic positions, augmented additive and dominance effects, and epistatic interactions (aa+dd and ad+da) of QTL simultaneously.…”
mentioning
confidence: 99%